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Fabrizio Silvestri
Fabrizio Silvestri is a full professor at DIAG of the Sapienza University of Rome. His research interests lie in artificial intelligence and, in particular, machine learning applied to web search problems and natural language processing. He authored more than 150 papers in international journals and conference proceedings. It holds nine industrial patents. At Facebook AI, Fabrizio Silvestri has directed research groups to develop artificial intelligence techniques to combat malicious actors who use the Facebook platform for malicious purposes (hate speech, misinformation, terrorism, and so on). Fabrizio Silvestri has a Ph.D. in computer science from the University of Pisa.
The Majority Vote Paradigm Shift: When Popular Meets Optimal
Antonio Purificato, Maria Sofia Bucarelli, Anil Kumar Nelakanti, Andrea Bacciu, Fabrizio Silvestri, Amin Mantrach
2026
Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio, Fabrizio Silvestri
2026
Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation
Salmè, Marco; Siciliano, Federico; Silvestri, Fabrizio; Soda, Paolo; Sicilia, Rosa; Guarrasi, Valerio;
2026
When Annotators Disagree: A Principled Approach to Learning with Noisy Labels
Bucarelli, Maria Sofia; Purificato, Antonio; Bacciu, Andrea; Cassano, Lucas; Siciliano, Federico; Nelakanti, Anil; Mantrach, Amin; Silvestri, Fabrizio;
2026
Composable Sparse Subnetworks via Maximum-Entropy Principle
Caso, Francesco; Fonio, Samuele; Saccomanno, Nicola; Monaco, Simone; Silvestri, Fabrizio;
2026
Select, Label, Evaluate: Active Testing in NLP
urificato, Antonio; Bucarelli, Maria Sofia; Bacciu, Andrea; Mantrach, Amin; Silvestri, Fabrizio
2026
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Di Teodoro, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura;
2025
Report on the 1st Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2024) at SIGIR 2024
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
2025
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
Purificato, Antonio; Cassarà, Giulia; Siciliano, Federico; Liò, Pietro; Silvestri, Fabrizio;
2025
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
Filippo Betello, Antonio Purificato, Vittoria Vineis, Gabriele Tolomei, Fabrizio Silvestri
2025
Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks
Giovanni Trappolini, Antonio Purificato, Federico Siciliano, Luigi D’Addona, Anna Maria Spagnolo, Domenico Dato, Fabrizio Silvestri
2025
Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS
Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025
PISA: Prioritized Invariant Subgraph Aggregation
Ghasemi, Ali; Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2025
Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights
Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Di Teodoro, Giulia; Siciliano, Federico; Guarrasi, Valerio; Vandamme, Anne-Mieke; Ghisetti, Valeria; Sönnerborg, Anders; Zazzi, Maurizio; Silvestri, Fabrizio; Palagi, Laura;
2025
A theoretical analysis of recommendation loss functions under negative sampling
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
2025
Report on the 1st Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2024) at SIGIR 2024
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
2025
IR-RAG@ SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems
Arabzadeh, Negar; Chen, Ziheng; Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
2025
Comparing Recommendation Losses under Negative Sampling
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
2025
TIM-Rec: Explicit Sparse Feedback on Multi-Item Upselling Recommendations in an Industrial Dataset of Telco Calls
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
2025
The perils of stealthy data poisoning attacks in misogynistic content moderation
Enneifer, Syrine; Baccini, Federica; Siciliano, Federico; Amerini, Irene; Silvestri, Fabrizio;
2025
AutoBench: Automating LLM Evaluation through Reciprocal Peer Assessment
Loi, Dario; Muià, Elena Maria; Siciliano, Federico; Trappolini, Giovanni; Crisà, Vincenzo; Kruger, Peter; Silvestri, Fabrizio;
2025
Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model
Di Nepi, Gavriel; Siciliano, Federico; Silvestri, Fabrizio;
2025
Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models
Di Teodoro, Giulia; Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
2025
Do RAG Systems Really Suffer From Positional Bias?
Cuconasu, Florin; Filice, Simone; Horowitz, Guy; Maarek, Yoelle; Silvestri, Fabrizio;
2025
Redefining Retrieval Evaluation in the Era of LLMs
Trappolini, Giovanni; Cuconasu, Florin; Filice, Simone; Maarek, Yoelle; Silvestri, Fabrizio;
2025
Link Prediction with Physics-Inspired Graph Neural Networks
Di Francesco, Andrea Giuseppe; Caso, Francesco; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2025
Renormalized Graph Representations for Node Classification
Caso, Francesco; Trappolini, Giovanni; Bacciu, Andrea; Liò, Pietro; Silvestri, Fabrizio;
2025
PISA: Prioritized Invariant Subgraph Aggregation
Ghasemi, Ali; Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2025
∇ τ: Gradient-based and Task-Agnostic machine Unlearning
Trippa, Daniel; Campagnano, Cesare; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio;
2024
A Reproducible Analysis of Sequential Recommender Systems
Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Cuconasu, Florin; Trappolini, Giovanni; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling
Di Teodoro, Giulia; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
A topological description of loss surfaces based on Betti Numbers
Bucarelli, Maria Sofia; D’Inverno, Giuseppe Alessio; Bianchini, Monica; Scarselli, Franco; Silvestri, Fabrizio;
2024
ATM: Improving Model Merging by Alternating Tuning and Merging
Zhou, Luca; Solombrino, Daniele; Crisostomi, Donato; Bucarelli, Maria Sofia; Silvestri, Fabrizio; Rodolà, Emanuele;
2024
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence
Movin, Maria; Siciliano, Federico; Ferreira, Rui; Silvestri, Fabrizio; Tolomei, Gabriele;
2024
Eco-Aware Graph Neural Networks for Sustainable Recommendations
Purificato, Antonio; Silvestri, Fabrizio;
2024
Human-in-the-Loop Personalized Counterfactual Recourse
Abrate, Carlo; Siciliano, Federico; Bonchi, Francesco; Silvestri, Fabrizio;
2024
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
2024
IR-RAG@ SIGIR24: Information Retrieval's Role in RAG Systems
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
2024
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2024
Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach
Di Francesco, Andrea Giuseppe; Caso, Francesco; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2024
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
2024
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Robust Solutions for Ranking Variability in Recommender Systems
Francomano, Bonifacio Marco; Siciliano, Federico; Silvestri, Fabrizio;
2024
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks
Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Di Francesco, Andrea Giuseppe; Pryymak, Oleksandr; Silvestri, Fabrizio;
2024
RobustRecSys@ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems
Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
2024
Static Pruning in Dense Retrieval using Matrix Decomposition
Siciliano, Federico; Pezzuti, Francesca; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Task Singular Vectors: Reducing Task Interference in Model Merging
Gargiulo, Antonio Andrea; Crisostomi, Donato; Bucarelli, Maria Sofia; Scardapane, Simone; Silvestri, Fabrizio; Rodolà, Emanuele;
2024
The Power of Noise: Redefining Retrieval for RAG Systems
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio
2024
The power of noise: Redefining retrieval for rag systems
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
The power of noise: Redefining retrieval for rag systems
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
2024
IR-RAG@ SIGIR24: Information Retrieval's Role in RAG Systems
Petroni, Fabio; Siciliano, Federico; Silvestri, Fabrizio; Trappolini, Giovanni;
2024
Human-in-the-Loop Personalized Counterfactual Recourse
Abrate, Carlo; Siciliano, Federico; Bonchi, Francesco; Silvestri, Fabrizio;
2024
RobustRecSys@ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems
Guarrasi, Valerio; Siciliano, Federico; Silvestri, Fabrizio;
2024
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
2024
Finite rank-biased overlap (frbo): A new measure for stability in sequential recommender systems
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
2024
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Consistent counterfactual explanations via anomaly control and data coherence
Movin, Maria; Siciliano, Federico; Ferreira, Rui; Silvestri, Fabrizio; Tolomei, Gabriele;
2024
Static Pruning in Dense Retrieval using Matrix Decomposition
Siciliano, Federico; Pezzuti, Francesca; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Robust Solutions for Ranking Variability in Recommender Systems
Francomano, Bonifacio Marco; Siciliano, Federico; Silvestri, Fabrizio;
2024
The power of noise: Redefining retrieval for rag systems
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
A tale of trust and accuracy: Base vs. instruct LLMs in RAG systems
Cuconasu, Florin; Trappolini, Giovanni; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Mareek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
Federico Siciliano, Luca Maiano, Lorenzo Papa, Irene Amerini, Fabrizio Silvestri
2023
Adversarial data poisoning for fake news detection: How to make a model misclassify a target news without modifying it
Siciliano, Federico; Maiano, Luca; Papa, Lorenzo; Baccini, Federica; Amerini, Irene; Silvestri, Fabrizio;
2023
Attention-likelihood relationship in transformers
Ruscio, Valeria; Maiorca, Valentino; Silvestri, Fabrizio;
2023
Concept Distillation in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro;
2023
CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN
Barnabò, Giorgio; Trappolini, Giovanni; Lastilla, Lorenzo; Campagnano, Cesare; Fan, Angela; Petroni, Fabio; Silvestri, Fabrizio;
2023
Deep active learning for misinformation detection using geometric deep learning
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2023
Fauno: The Italian Large Language Model that will leave you senza parole!
Bacciu, Andrea; Trappolini, Giovanni; Santilli, Andrea; Rodolà, Emanuele; Silvestri, Fabrizio;
2023
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Siciliano, Federico; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2023
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
Bucarelli, Maria Sofia; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio;
2023
Multimodal Neural Databases
Trappolini, Giovanni; Santilli, Andrea; Rodolà, Emanuele; Halevy, Alon; Silvestri, Fabrizio;
2023
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models
Tolomei, Gabriele; Campagnano, Cesare; Silvestri, Fabrizio; Trappolini, Giovanni;
2023
Renormalized Graph Neural Networks
Caso, Francesco; Trappolini, Giovanni; Bacciu, Andrea; Liò, Pietro; Silvestri, Fabrizio;
2023
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
2023
Sparse Vicious Attacks on Graph Neural Networks
Trappolini, Giovanni; Maiorca, Valentino; Severino, Silvio; Rodola, Emanuele; Silvestri, Fabrizio; Tolomei, Gabriele;
2023
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
Bucarelli, Maria Sofia; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio;
2023
Deep active learning for misinformation detection using geometric deep learning
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2023
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Siciliano, Federico; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2023
Concept Distillation in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro;
2023
Adversarial data poisoning for fake news detection: How to make a model misclassify a target news without modifying it
Siciliano, Federico; Maiano, Luca; Papa, Lorenzo; Baccini, Federica; Amerini, Irene; Silvestri, Fabrizio;
2023
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
2023
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
2023
Encoding Concepts in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Lio, Pietro;
2022
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2022
Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
2022
Newron: a new generalization of the artificial neuron to enhance the interpretability of neural networks
Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio;
2022
Sheaf Hypergraph Networks
Duta, Iulia; Cassarà, Giulia; Silvestri, Fabrizio; Liò, Pietro
2022
Newron: a new generalization of the artificial neuron to enhance the interpretability of neural networks
Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio;
2022
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2022
Rank Lifting and Random Non-Linear Maps
Drago, Andrea; Bucarelli, Maria Sofia; Caso, Francesco; Michetti, Marius; Siciliano, Federico; Silvestri, Fabrizio; Becchetti, Luca;
Double Descent Revisited: When Noise Amplifies and Optimizers Decide
Luciani, Erica; Bucarelli, Maria Sofia; Siciliano, Federico; Silvestri, Fabrizio; Becchetti, Luca;
Balancing the Diversity-Coverage Trade-off in Graph-based Recommendations for Cold-Start Industrial Applications
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio;
Composable Sparse Subnetworks via Maximum-Entropy Principle
Caso, Francesco; Fonio, Samuele; Saccomanno, Nicola; Monaco, Simone; Silvestri, Fabrizio;
Rank Lifting and Random Non-Linear Maps
Drago, Andrea; Bucarelli, Maria Sofia; Caso, Francesco; Michetti, Marius; Siciliano, Federico; Silvestri, Fabrizio; Becchetti, Luca;
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